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U-NO: U-shaped Neural Operators

23 April 2022

Md Ashiqur Rahman

Zachary E. Ross

Kamyar Azizzadenesheli

AI4CE

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Papers citing "U-NO: U-shaped Neural Operators"

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Title
Beyond Loss Guidance: Using PDE Residuals as Spectral Attention in Diffusion Neural Operators Medha Sawhney Abhilash Neog Mridul Khurana Anuj Karpatne DiffM 8 0 0 01 Dec 2025
SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs Chenhong Zhou Jie Chen Zaifeng Yang ViT 80 0 0 24 Nov 2025
Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces Byoungwoo Park Juho Lee Guan-Horng Liu 124 0 0 09 Nov 2025
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures Jianán Zhang 96 0 0 09 Nov 2025
SA-EMO: Structure-Aligned Encoder Mixture of Operators for Generalizable Full-waveform InversionAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Wang Zhenyu Li Peiyuan Shi Yongxiang Wu Ruoyu Zhang Lei 53 0 0 07 Nov 2025
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction Z. L. Jiang Wei Wang Gaowei Zhang Y. Wang AI4Cl 237 0 0 07 Nov 2025
Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation Fan Xu H. Wu Kun Wang Nan Wang Qingsong Wen X. Wu Wei Gong Xibin Zhao 72 0 0 28 Oct 2025
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter Hong Wang Jie Wang Jian Luo Huanshuo Dong Yeqiu Chen Runmin Jiang Zhen Huang 104 0 0 27 Oct 2025
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling Bálint László Szarvas Maksim Zhdanov 83 0 0 15 Oct 2025
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution Qiongyang Hu Wenyang Liu Wenbin Zou Yuejiao Su Lap-Pui Chau Yi Wang 128 0 0 08 Oct 2025
Implicit Models: Expressive Power Scales with Test-Time Compute Jialin Liu Lisang Ding Stanley Osher W. Yin 120 1 0 04 Oct 2025
FieldFormer: Physics-Informed Transformers for Spatio-Temporal Field Reconstruction from Sparse Sensors Ankit Bhardwaj Ananth Balashankar L. Subramanian AI4CE 93 0 0 04 Oct 2025
MORPH: PDE Foundation Models with Arbitrary Data Modality Mahindra Singh Rautela Alexander Buschmann Most Siddharth Mansingh Bradley Love Ayan Biswas Diane Oyen Earl Lawrence AI4TS AI4CE 234 0 0 25 Sep 2025
Breaking the Discretization Barrier of Continuous Physics Simulation Learning Fan Xu Hao Wu Nan Wang Lilan Peng Kun Wang Wei Gong Xibin Zhao AI4CE 120 3 0 22 Sep 2025
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media M. Giselle Fernández-Godino Meir H. Shachar Kevin Korner Jonathan L. Belof Mukul Kumar Jonathan Lind William J. Schill AI4CE 193 0 0 19 Sep 2025
Neural Spline Operators for Risk Quantification in Stochastic Systems Zhuoyuan Wang Raffaele Romagnoli Kamyar Azizzadenesheli Yorie Nakahira 72 0 0 27 Aug 2025
GFocal: A Global-Focal Neural Operator for Solving PDEs on Arbitrary Geometries Fangzhi Fei Jiaxin Hu Qiaofeng Li Zhenyu Liu AI4CE 159 2 0 06 Aug 2025
Merging Memory and Space: A State Space Neural Operator Nodens F. Koren Samuel Lanthaler 202 0 0 31 Jul 2025
AI paradigm for solving differential equations: first-principles data generation and scale-dilation operator AI solver Xiangshu Gong Zhiqiang Xie Xiaowei Jin Chen Wang Yanling Qu W. Zuo Hui Li 126 0 0 30 Jul 2025
Scale-Consistent Learning for Partial Differential Equations Zongyi Li S. Lanthaler Catherine Deng Michael Chen Yixuan Wang Kamyar Azizzadenesheli Anima Anandkumar AI4CE 127 0 0 24 Jul 2025
PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training Anirudh Satheesh Anant Khandelwal Mucong Ding Radu Balan AI4CE 144 0 0 23 Jul 2025
Mesh-Informed Neural Operator : A Transformer Generative Approach Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli AI4CE 373 3 0 20 Jun 2025
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Julius Berner Miguel Liu-Schiaffini Jean Kossaifi Valentin Duruisseaux Boris Bonev Kamyar Azizzadenesheli A. Anandkumar AI4CE 332 3 0 12 Jun 2025
LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids Shilong Tao Zhe Feng Haonan Sun Zhanxing Zhu Yunhuai Liu AI4CE PINN 182 0 0 06 Jun 2025
Latent Mamba Operator for Partial Differential Equations Karn Tiwari Niladri Dutta N. M. A. Krishnan P. PrathoshA Mamba AI4CE 259 0 0 25 May 2025
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Alexander Khrabry Edward Startsev Andrew Powis Igor Kaganovich AI4CE 255 1 0 24 May 2025
MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs SolvingInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Yichen Luo Jia Wang Dapeng Lan Yu Liu Zhibo Pang AI4CE 115 1 0 24 May 2025
Guided Diffusion Sampling on Function Spaces with Applications to PDEs Jiachen Yao Abbas Mammadov Julius Berner Gavin Kerrigan Jong Chul Ye Kamyar Azizzadenesheli A. Anandkumar DiffM 249 8 0 22 May 2025
Redefining Neural Operators in $d+1$ Dimensions Haoze Song Zhihao Li Xiaobo Zhang Zecheng Gan Zhilu Lai Wei Wang 198 0 0 17 May 2025
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex SystemsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Han Wan Rui Zhang Qi Wang Wenshu Fan Hao Sun PINN 229 4 0 03 May 2025
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics Han Wan Qi Wang Hao Sun Hao Sun Hao Sun AI4CE 325 0 0 13 Mar 2025
Orthogonal greedy algorithm for linear operator learning with shallow neural networkJournal of Computational Physics (JCP), 2025 Ye Lin Jiwei Jia Young Ju Lee Ran Zhang 259 2 0 06 Jan 2025
A deformation-based framework for learning solution mappings of PDEs defined on varying domains Shanshan Xiao Pengzhan Jin Yifa Tang 232 2 0 02 Dec 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic DevicesNeural Information Processing Systems (NeurIPS), 2024 Hanqing Zhu Wenyan Cong Guojin Chen Shupeng Ning Ray T. Chen Jiaqi Gu David Z. Pan 175 4 0 05 Nov 2024
Exploring the design space of deep-learning-based weather forecasting systems Shoaib Ahmed Siddiqui Jean Kossaifi Boris Bonev Christopher Choy Jan Kautz David M. Krueger Kamyar Azizzadenesheli AI4CE OOD 161 9 0 09 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systemsInternational Conference on Learning Representations (ICLR), 2024 Bocheng Zeng Qi Wang Ming Yan Wenshu Fan Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 395 9 0 02 Oct 2024
Scientific Machine Learning SeismologyZisin (Journal of the Seismological Society of Japan 2nd ser ) (Zisin), 2024 Tomohisa Okazaki PINN AI4CE 395 1 0 27 Sep 2024
Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement Yuan Mi Qi Wang Xueqin Hu Yike Guo J. Wen Yang Liu Hao Sun 205 1 0 26 Sep 2024
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics Dongyu Luo Jianyu Wu Jing Wang Hairun Xie Xiangyu Yue Bin Wang DiffM AI4CE 213 4 0 20 Sep 2024
Neural Laplacian Operator for 3D Point CloudsACM Transactions on Graphics (TOG), 2024 Bo Pang Zhongtian Zheng Yilong Li Guoping Wang Peng-Shuai Wang 3DPC 285 5 0 10 Sep 2024
Active Learning for Neural PDE SolversInternational Conference on Learning Representations (ICLR), 2024 Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 450 17 0 02 Aug 2024
DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving Xihang Yue Yi Yang Linchao Zhu AI4CE 201 3 0 14 Jun 2024
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers Zhou Hang Yuezhou Ma Haixu Wu Haowen Wang Mingsheng Long AI4CE 334 6 0 27 May 2024
Spectral Convolutional Conditional Neural Processes Peiman Mohseni Nick Duffield 245 4 0 19 Apr 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 259 7 0 27 Feb 2024
Operator Learning: Algorithms and Analysis Nikola B. Kovachki S. Lanthaler Andrew M. Stuart 401 67 0 24 Feb 2024
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation Ashutosh Singh R. Borsoi Deniz Erdogmus Tales Imbiriba 185 2 0 24 Feb 2024
Learning solution operators of PDEs defined on varying domains via MIONet Shanshan Xiao Pengzhan Jin Yifa Tang 268 6 0 23 Feb 2024
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs Yusuke Tanaka Takaharu Yaguchi Tomoharu Iwata N. Ueda AI4CE 324 0 0 14 Feb 2024
A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples Jun Hu Pengzhan Jin 189 14 0 11 Feb 2024